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Temporal Data Mining via Unsupervised Ensemble Learning

Temporal Data Mining via Unsupervised Ensemble Learning
A Book

by Yun Yang

  • Publisher : Elsevier
  • Release : 2016-11-15
  • Pages : 172
  • ISBN : 0128118415
  • Language : En, Es, Fr & De
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Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct approach can be selected for a given clustering problem. Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book, as will undergraduate and graduate students following courses in computer science, engineering, and statistics. Includes fundamental concepts and knowledge, covering all key tasks and techniques of temporal data mining, i.e., temporal data representations, similarity measure, and mining tasks Concentrates on temporal data clustering tasks from different perspectives, including major algorithms from clustering algorithms and ensemble learning approaches Presents a rich blend of theory and practice, addressing seminal research ideas and looking at the technology from a practical point-of-view

Temporal Data Mining

Temporal Data Mining
A Book

by Theophano Mitsa

  • Publisher : CRC Press
  • Release : 2010-03-10
  • Pages : 395
  • ISBN : 9781420089776
  • Language : En, Es, Fr & De
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Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references. In the appendices, the author explains how data mining fits the overall goal of an organization and how these data can be interpreted for the purpose of characterizing a population. She also provides programs written in the Java language that implement some of the algorithms presented in the first chapter. Check out the author's blog at http://theophanomitsa.wordpress.com/

Cancer Imaging

Cancer Imaging
Lung and Breast Carcinomas

by M. A. Hayat

  • Publisher : Academic Press
  • Release : 2007-10-25
  • Pages : 656
  • ISBN : 9780080553658
  • Language : En, Es, Fr & De
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With cancer-related deaths projected to rise to 10.3 million people by 2020, the need to prevent, diagnose, and cure cancer is greater than ever. Cancer Imaging presents readers with the most up-to-date imaging instrumentation, general and diagnostic applications for various cancers, with an emphasis on lung and breast carcinomas--the two major worldwide malignancy types. This book discusses the various imaging techniques used to locate and diagnose tumors, including ultrasound, X-ray, color Doppler sonography, PET, CT, PET/CT, MRI, SPECT, diffusion tensor imaging, dynamic infrared imaging, and magnetic resonance spectroscopy. It also details strategies for imaging cancer, emphasizing the importance of the use of this technology for clinical diagnosis. Imaging techniques that predict the malignant potential of cancers, response to chemotherapy and other treatments, recurrence, and prognosis are also detailed. Concentrates on the application of imaging technology to the diagnosis and prognosis of lung and breast carcinomas, the two major worldwide malignancies Addresses the relationship between radiation dose and image quality Discusses the role of molecular imaging in identifying changes for the emergence and progression of cancer at the cellular and/or molecular levels

Cloud Computing for Machine Learning and Cognitive Applications

Cloud Computing for Machine Learning and Cognitive Applications
A Machine Learning Approach

by Kai Hwang

  • Publisher : MIT Press
  • Release : 2017-06-09
  • Pages : 624
  • ISBN : 026203641X
  • Language : En, Es, Fr & De
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The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies.

PRICAI 2008: Trends in Artificial Intelligence

PRICAI 2008: Trends in Artificial Intelligence
10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, Proceedings

by Tu-Bao Ho,Zhi-Hua Zhou

  • Publisher : Springer
  • Release : 2008-12-04
  • Pages : 1130
  • ISBN : 3540891978
  • Language : En, Es, Fr & De
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The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is one of the preeminent international conferences on artificial intelligence (AI). PRICAI 2008 (http://www.jaist.ac.jp/PRICAI-08/) was the tenth in this series of biennial int- national conferences highlighting the most significant contributions to the field of AI. The conference was held during December 15–19, 2008, in the beautiful city Hanoi, the capital of Vietnam. As in previous years this year’s technical program saw very high standards in both the submission and paper review process, resulting in an exciting program that reflects the great variety and depth of modern AI research. This year’s contributions covered all traditional areas of AI, including AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc., as well as va- ous exciting and innovative applications of AI to many different areas. There was particular emphasis in the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.

Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
A Book

by Xanthoula-Eirini Pantazi,Dimitrios Moshou,Dionysis Bochtis

  • Publisher : Academic Press
  • Release : 2019-10-08
  • Pages : 330
  • ISBN : 0128143924
  • Language : En, Es, Fr & De
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Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture Addresses AI use in weed management, disease detection, yield prediction and crop production Utilizes case studies to provide real-world insights and direction

Biomedical Signal Processing

Biomedical Signal Processing
Innovation and Applications

by Iyad Obeid

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 3030674940
  • Language : En, Es, Fr & De
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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)
A Book

by Aboul Ella Hassanien,Ahmad Taher Azar,Tarek Gaber,Roheet Bhatnagar,Mohamed F. Tolba

  • Publisher : Springer
  • Release : 2019-03-16
  • Pages : 960
  • ISBN : 3030141187
  • Language : En, Es, Fr & De
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This book presents the peer-reviewed proceedings of the 4th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2019), held in Cairo, Egypt, on March 28–30, 2019, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover the latest research on machine learning, deep learning, biomedical engineering, control and chaotic systems, text mining, summarization and language identification, machine learning in image processing, renewable energy, cyber security, and intelligence swarms and optimization.

Soft Computing and its Engineering Applications

Soft Computing and its Engineering Applications
Second International Conference, icSoftComp 2020, Changa, Anand, India, December 11–12, 2020, Proceedings

by Kanubhai K. Patel

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 9811607087
  • Language : En, Es, Fr & De
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Blockchain, Big Data and Machine Learning

Blockchain, Big Data and Machine Learning
Trends and Applications

by Neeraj Kumar,N. Gayathri,Md Arafatur Rahman,B. Balamurugan

  • Publisher : CRC Press
  • Release : 2020-08-13
  • Pages : 384
  • ISBN : 1000163512
  • Language : En, Es, Fr & De
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Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.

Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability

Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability
A Book

by Martin Zelm,Frank Walter Jaekel,Guy Doumeingts,Martin Wollschlaeger

  • Publisher : Wiley-ISTE
  • Release : 2018-12-18
  • Pages : 496
  • ISBN : 1786303736
  • Language : En, Es, Fr & De
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The ability of future industry to create interactive, flexible and always-on connections between design, manufacturing and supply is an ongoing challenge, affecting competitiveness, efficiency and resourcing. The goal of enterprise interoperability (EI) research is therefore to address the effectiveness of solutions that will successfully prepare organizations for the advent and uptake of new technologies. This volume outlines results and practical concepts from recent and ongoing European research studies in EI, and examines the results of research and discussions cultivated at the I-ESA 2018 conference, “Smart services and business impact of enterprise interoperability”. The conference, designed to encourage collaboration between academic inquiry and real-world industry applications, addressed a number of advanced multidisciplinary topics including Industry 4.0, Big Data, the Internet of Things, Cloud computing, ontology, artificial intelligence, virtual reality and enterprise modelling for future “smart” manufacturing. Readers will find this book to be a source of invaluable knowledge for enterprise architects in a range of industries and organizations.

Encyclopedia of Computer Science and Technology

Encyclopedia of Computer Science and Technology
A Book

by Phillip A. Laplante

  • Publisher : CRC Press
  • Release : 2017-10-02
  • Pages : 1500
  • ISBN : 1351652494
  • Language : En, Es, Fr & De
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With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology.

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining
7th Pacific-Asia Conference, PAKDD 2003. Seoul, Korea, April 30 - May 2, 2003, Proceedings

by Kyu-Young Whang,Jongwoo Jeon,Kyuseok Shim,Jaideep Srivatava

  • Publisher : Springer
  • Release : 2003-08-03
  • Pages : 614
  • ISBN : 3540361758
  • Language : En, Es, Fr & De
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The 7th Paci?c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) was held from April 30 to May 2, 2003 in the Convention and Ex- bition Center (COEX), Seoul, Korea. The PAKDD conference is a major forum for academic researchers and industry practitioners in the Paci?c Asia region to share original research results and development experiences from di?erent KDD-related areas such as data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and discovery, data visualization, and knowledge-based systems. The conference was organized by the Advanced Information Technology Research Center (AITrc) at KAIST and the Statistical Research Center for Complex Systems (SRCCS) at Seoul National University. It was sponsored by the Korean Datamining Society (KDMS), the Korea Inf- mation Science Society (KISS), the United States Air Force O?ce of Scienti?c Research, the Asian O?ce of Aerospace Research & Development, and KAIST. It was held with cooperation from ACM’s Special Group on Knowledge Dis- very and Data Mining (SIGKDD).

Digital Transformation Technology

Digital Transformation Technology
Proceedings of ITAF 2020

by Dalia A. Magdi

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 9811622752
  • Language : En, Es, Fr & De
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Machine Learning Applications Using Python

Machine Learning Applications Using Python
Cases Studies from Healthcare, Retail, and Finance

by Puneet Mathur

  • Publisher : Apress
  • Release : 2019-02-08
  • Pages : 379
  • ISBN : 1484237870
  • Language : En, Es, Fr & De
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will Learn Discover applied machine learning processes and principles Implement machine learning in areas of healthcare, finance, and retail Avoid the pitfalls of implementing applied machine learning Build Python machine learning examples in the three subject areas Who This Book Is For Data scientists and machine learning professionals.

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis
A Book

by Bhattacharyya, Siddhartha

  • Publisher : IGI Global
  • Release : 2018-04-13
  • Pages : 329
  • ISBN : 1522552200
  • Language : En, Es, Fr & De
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As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent tools. This book is an important resource for academics, computer engineers, IT professionals, students, and researchers seeking current research in the field of multimedia data processing and quantum intelligent systems.

Database and Expert Systems Applications

Database and Expert Systems Applications
21st International Conference, DEXA 2010, Bilbao, Spain, August 30 - September 3, 2010, Proceedings

by Pablo García Bringas,Abdelkader Hameurlain,Gerald Quirchmayr

  • Publisher : Springer Science & Business Media
  • Release : 2010-08-18
  • Pages : 504
  • ISBN : 3642152503
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 21 International Conference on Database and Expert Systems Applications, DEXA 2010, held in Bilbao, Spain, August 30 - September 3, 2010. The 45 revised full papers and 36 short papers were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on Data Mining Systems, Parallelism and Query Planning, Data Warehousing and Decision Support Systems, Temporal, Spatial and High Dimensional Databases, Data Mining Algorithms, Information Retrieval, Query Processing and Optimization.

Big Data Applications in the Telecommunications Industry

Big Data Applications in the Telecommunications Industry
A Book

by Ouyang, Ye,Hu, Mantian

  • Publisher : IGI Global
  • Release : 2016-12-28
  • Pages : 216
  • ISBN : 1522517510
  • Language : En, Es, Fr & De
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The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.

Mobile Big Data

Mobile Big Data
A Book

by Xiang Cheng,Luoyang Fang,Liuqing Yang,Shuguang Cui

  • Publisher : Springer
  • Release : 2018-08-23
  • Pages : 125
  • ISBN : 3319961160
  • Language : En, Es, Fr & De
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This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China. In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge. This book targets researchers, practitioners and professors relevant to this field. Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading.

Research and Innovation Forum 2021

Research and Innovation Forum 2021
Managing Continuity, Innovation, and Change in the Post-Covid World: Technology, Politics and Society

by Anna Visvizi

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 3030843114
  • Language : En, Es, Fr & De
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